Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 533

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

FTIR spectroscopic characterization of protein structure in aqueous and non-aqueous media

Open access
Haris, Parvez I, Severcan, Feride·1999·Journal of Molecular Catalysis B: Enzymatic

Abstract

Abstract With increasing use of proteins in many different applications, ranging from phramaceuticals to biosensors and biomaterials, there has emerged a need for protein structural characterisation in diverse environments. In many cases it is not sufficient to just have the three-dimensional structure of a protein in H 2 O or in the crystalline state. Often information on the structural properties of a protein is required in the presence of organic solvents, detergent micelles, phospholipid membranes and so on. Fourier transform infrared spectroscopy (FTIR) has been identified as one of the few techniques that can be applied for structural characterisation of proteins in such environments. Here we discuss how this technique is being used to obtain information on protein structure and stability in both aqueous and non-aqueous media. Examples are drawn from our studies of water soluble proteins and membrane proteins.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/s1381-1177(99)00030-2

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Cited by

See all 533

Metadata

Authors
Haris, P. I., & Severcan, F.
Venue
Journal of Molecular Catalysis B: Enzymatic
Publisher
Elsevier BV
Published
1999-09
Volume
7
Issue
1-4
Pages
207-221
ISSN
1381-1177 (ISSN-L)
OpenAlex
W2002257633
Cited by
533
References
1
FWCI
0.94
Type
journal article
Language
en
Open access
green

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: FTIR spectroscopic characterization of protein structure in aqueous and non-aqueous media. https://app.cochat.ai/papers/10.1016/s1381-1177(99)00030-2
The paper
Haris, P. I., & Severcan, F. (1999). FTIR spectroscopic characterization of protein structure in aqueous and non-aqueous media. Journal of Molecular Catalysis B: Enzymatic. https://doi.org/10.1016/s1381-1177(99)00030-2

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.